code: def delta_eps_mu(eps, mu):
      """Code adapted from: https://github.com/tensorflow/privacy/blob/master/tensorflow_privacy/privacy/analysis/gdp_accountant.py#L44"""
      return norm.cdf(-eps / mu + mu / 2) - np.exp(eps) * norm.cdf(
          -eps / mu - mu / 2
      )
  
file_path: interpret/python/interpret-core/interpret/utils/_privacy.py
imports: import numpy
  from scipy.stats import norm
  from scipy.optimize import brentq
  from ._native import Native
  import logging
label_desc: Use image node_id 3 for calling a global function with example usage: delta_eps_mu(eps, mu) and returns: unknown